Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180235A726332B87843DB92EEE7382A56B2D2548DF8C74554F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8i9TDVS3MLBmSmMLB+3Uuix+y9dQpUDF1E56ITmHx3naOhqePqDvrE:aq+EsZ/8i5DVS3MLBmSmMLB+3Uxx+y9V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fae4ed9290e4c591 |
|
VISUAL
aHash
|
fb8181858d818181 |
|
VISUAL
dHash
|
4379470d09694349 |
|
VISUAL
wHash
|
ff8181e78ded8181 |
|
VISUAL
colorHash
|
32000e00000 |
|
VISUAL
cropResistant
|
4379470d09694349,1f5fcfade6c6d060,4358870c8ca85258 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)